Drew Conway
Scientist-in-Residence, IA Ventures

Drew Conway is an expert in the application of computational methods to social and behavioral problems at large-scale. Drew has been writing and speaking about the role of data — and the discipline of data science — in industry, government, and academia for several years. Drew has advised and consulted companies across many industries; ranging from fledgling start-ups to Fortune 100 companies, as well as academic institutions and federal agencies. Drew is a co-founder of DataKind (non-profit connecting social organizations with data scientist), the author of Machine Learning for Hackers (O’Reilly Media, 2012), a co-chair of the DataGotham conference, and is currently serving as the Scientist-in-Residence at IA Ventures. Drew is also completing his doctoral work in the Department of Politics at New York University. Prior to graduate school, Drew worked in the U.S. Intelligence Community in Washington, DC. There, he was an all-sources analyst specializing in the mathematical modeling of social systems.

Sessions

Data scientists and technology companies are rapidly recognizing the immense power of data for drawing insights about their impact and operations, yet NGOs and non-profits are increasingly being left behind with mounting data and few resources to make use of it.
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